Conversational Flow
Last updated
Last updated
Aika’s conversational engine is designed to process and adapt to user inputs in real time, employing a state-based dialog framework. The dynamic flow ensures precision while maintaining a natural conversational tone, critical for both user engagement and trust-building.
Intent Parsing
Converts raw inputs into structured intents using transformer-based NLP models.
Clarification Loop
Detects ambiguities in user inputs and requests additional details (e.g., chain specification, token amounts) for seamless execution.
Context Preservation
Maintains conversational continuity with context-aware state management to avoid redundant queries.
Feedback and Approval
Summarizes the transaction for user confirmation, providing a transparent decision-making process.
Multi-Language NLP: Supports global users by processing natural language commands in multiple languages with equal proficiency.
Error Gracefulness: Communicates system or user errors with actionable suggestions, ensuring smooth user experiences.